Results 21 to 30 of about 1,409,223 (260)
Sparse Schrödinger Operators [PDF]
Reviews in Mathematical Physics, 1997 We study spectral properties of a family [Formula: see text], indexed by a non-negative integer p, of one-dimensional discrete operators associated to an ergodic dynamical system (T,X,ℬ,μ) and defined for u in ℓ2(ℤ) and n in ℤ by [Formula: see text], where Vx(n)=f(Tnx) and f is a real-valued measurable bounded map on X.
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Coloring Sparse Hypergraphs [PDF]
SIAM Journal on Discrete Mathematics, 2016 Fix $k \geq 3$, and let $G$ be a $k$-uniform hypergraph with maximum degree $ $. Suppose that for each $l = 2, ..., k-1$, every set of l vertices of G is in at most $ ^{(k-l)/(k-1)}/f$ edges. Then the chromatic number of $G$ is $O( ( /\log f)^{1/(k-1)})$. This extends results of Frieze and the second author and Bennett and Bohman.
Cooper, Jeff, Mubayi, Dhruv
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Image Extrapolation Using Sparse Methods
Communications, 2013 Image extrapolation is the specific application in image processing. You have to extrapolate the image for example when you want to process the given image piecewise.
Jan Spirik, Jan Zatyik
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Sparse HJ Biplot: A New Methodology via Elastic Net
Mathematics, 2021 The HJ biplot is a multivariate analysis technique that allows us to represent both individuals and variables in a space of reduced dimensions. To adapt this approach to massive datasets, it is necessary to implement new techniques that are capable of ...
Mitzi Cubilla-Montilla +3 more
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A Combinatorial Problem Related to Sparse Systems of Equations [PDF]
, 2015 Nowadays sparse systems of equations occur frequently in science and engineering. In this contribution we deal with sparse systems common in cryptanalysis.
Horak, Peter, Semaev, Igor, Tuza, Zsolt
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Sensors, 2016 The detection of a moving target using an IR-UWB Radar involves the core task of separating the waves reflected by the static background and by the moving target.
Donatien Sabushimike +5 more
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DOA Estimation in Partially Correlated Noise Using Low-Rank/Sparse Matrix Decomposition [PDF]
, 2014 We consider the problem of direction-of-arrival (DOA) estimation in unknown partially correlated noise environments where the noise covariance matrix is sparse. A sparse noise covariance matrix is a common model for a sparse array of sensors consisted of
Babaie-Zadeh, Massoud +4 more
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Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling [PDF]
, 2014 We frame the task of predicting a semantic labeling as a sparse reconstruction procedure that applies a target-specific learned transfer function to a generic deep sparse code representation of an image.
Maire, Michael +2 more
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GNSS Signal Acquisition Algorithm Based on Two-Stage Compression of Code-Frequency Domain
Applied Sciences, 2022 The recently-emerging compressed sensing (CS) theory makes GNSS signal processing at a sub-Nyquist rate possible if it has a sparse representation in certain domain.
Fangming Zhou +6 more
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Unsupervised Feature Learning by Deep Sparse Coding [PDF]
, 2013 In this paper, we propose a new unsupervised feature learning framework, namely Deep Sparse Coding (DeepSC), that extends sparse coding to a multi-layer architecture for visual object recognition tasks.
He, Yunlong +4 more
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